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The Vps35 D620N Mutation Linked to Parkinson's Disease Disrupts the Cargo Sorting Function of Retromer

Overview of attention for article published in Traffic, November 2013
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Title
The Vps35 D620N Mutation Linked to Parkinson's Disease Disrupts the Cargo Sorting Function of Retromer
Published in
Traffic, November 2013
DOI 10.1111/tra.12136
Pubmed ID
Authors

Jordan Follett, Suzanne J. Norwood, Nicholas A. Hamilton, Megha Mohan, Oleksiy Kovtun, Stephanie Tay, Yang Zhe, Stephen A. Wood, George D. Mellick, Peter A. Silburn, Brett M. Collins, Andrea Bugarcic, Rohan D. Teasdale

Abstract

The retromer is a trimeric cargo-recognition protein complex composed of Vps26, Vps29 and Vps35 associated with protein trafficking within endosomes. Recently, a pathogenic point mutation within the Vps35 subunit (D620N) was linked to the manifestation of Parkinson's disease (PD). Here, we investigated details underlying the molecular mechanism by which the D620N mutation in Vps35 modulates retromer function, including examination of retromer's subcellular localization and its capacity to sort cargo. We show that expression of the PD-linked Vps35 D620N mutant redistributes retromer-positive endosomes to a perinuclear subcellular localization and that these endosomes are enlarged in both model cell lines and fibroblasts isolated from a PD patient. Vps35 D620N is correctly folded and binds Vps29 and Vps26A with the same affinity as wild-type Vps35. While PD-linked point mutant Vps35 D620N interacts with the cation-independent mannose-6-phosphate receptor (CI-M6PR), a known retromer cargo, we find that its expression disrupts the trafficking of cathepsin D, a CI-M6PR ligand and protease responsible for degradation of α-synuclein, a causative agent of PD. In summary, we find that the expression of Vps35 D620N leads to endosomal alterations and trafficking defects that may partly explain its action in PD.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
India 1 <1%
Belgium 1 <1%
Unknown 173 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 20%
Researcher 28 16%
Student > Master 24 13%
Student > Bachelor 24 13%
Professor > Associate Professor 8 4%
Other 22 12%
Unknown 37 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 52 29%
Agricultural and Biological Sciences 39 22%
Neuroscience 24 13%
Medicine and Dentistry 9 5%
Pharmacology, Toxicology and Pharmaceutical Science 3 2%
Other 8 4%
Unknown 43 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 February 2014.
All research outputs
#21,997,751
of 24,542,484 outputs
Outputs from Traffic
#1,174
of 1,255 outputs
Outputs of similar age
#192,730
of 218,143 outputs
Outputs of similar age from Traffic
#21
of 21 outputs
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So far Altmetric has tracked 1,255 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.